diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index 0b9c62bdd..2f5d0bbb0 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -22,3 +22,4 @@ stdgpu_add_example_cu(createAndDestroyDeviceObject)
 stdgpu_add_example_cu(mutex_array)
 stdgpu_add_example_cu(thrust_interoperability)
 stdgpu_add_example_cu(thrust_towards_ranges)
+stdgpu_add_example_cu(unordered_map)
diff --git a/examples/unordered_map.cu b/examples/unordered_map.cu
new file mode 100644
index 000000000..60e799f63
--- /dev/null
+++ b/examples/unordered_map.cu
@@ -0,0 +1,109 @@
+/*
+ *  Copyright 2019 Patrick Stotko
+ *  Licensed under the Apache License, Version 2.0 (the "License");
+ *  you may not use this file except in compliance with the License.
+ *  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ */
+
+#include <stdgpu/unordered_map.cuh>
+
+namespace stdgpu
+{
+
+template <>
+struct hash<longlong3>
+{
+    inline STDGPU_HOST_DEVICE std::size_t
+    operator()(const longlong3 &key) const
+    {
+        return key.x * 73856093 ^ key.y * 19349669 ^ key.z * 83492791;
+    }
+};
+
+} // namespace stdgpu
+
+STDGPU_HOST_DEVICE bool
+operator==(const longlong3 &lhs, const longlong3 &rhs)
+{
+    return lhs.x == rhs.x && lhs.y == rhs.y && lhs.z == rhs.z;
+};
+
+using voxel_map = stdgpu::unordered_map<longlong3, float>;
+
+__global__ void
+add_keys_and_values(const stdgpu::index_t n,
+                    const longlong3* voxel_idx,
+                    const float* voxel_tsd,
+                    voxel_map map)
+{
+    stdgpu::index_t i = blockIdx.x * blockDim.x + threadIdx.x;
+
+    if (i >= n)
+        return;
+
+    longlong3 idx = voxel_idx[i];
+    float tsd = voxel_tsd[i];
+
+    map.insert(thrust::make_pair(idx, tsd));
+}
+
+int main()
+{
+    stdgpu::index_t n = 3;
+
+    longlong3 voxel_idx_host[n] = {
+        {0, 0, 0},
+        {0, 0, 1},
+        {0, 1, 0}};
+    longlong3* voxel_idx;
+    cudaMalloc(&voxel_idx, sizeof(longlong3)*n);
+    cudaMemcpy(voxel_idx, voxel_idx_host, sizeof(longlong3)*n, cudaMemcpyHostToDevice); 
+
+    float voxel_tsd_host[n] = {0.1, 0.002, -0.3};
+    float* voxel_tsd;
+    cudaMalloc(&voxel_tsd, sizeof(float)*n);
+    cudaMemcpy(voxel_tsd, voxel_tsd_host, sizeof(float)*n, cudaMemcpyHostToDevice); 
+
+    voxel_map map = voxel_map::createDeviceObject(1024, n);
+
+    stdgpu::index_t threads = 128;
+    stdgpu::index_t blocks = (n + threads - 1) / threads;
+    add_keys_and_values<<<blocks, threads>>>(n, voxel_idx, voxel_tsd, map);
+    cudaDeviceSynchronize();
+
+    std::cout << "Number of elements is " << map.size() << " (" << 3 << " expected)" << std::endl;
+
+    cudaFree(voxel_idx);
+    cudaFree(voxel_tsd);
+
+    
+    n = 1;
+
+    longlong3 additional_voxel_idx_host[n] = {{0, 0, 0}};
+    cudaMalloc(&voxel_idx, sizeof(longlong3)*n);
+    cudaMemcpy(voxel_idx, additional_voxel_idx_host, sizeof(longlong3)*n, cudaMemcpyHostToDevice); 
+
+    float additional_voxel_tsd_host[n] = {0.0};
+    cudaMalloc(&voxel_tsd, sizeof(float)*n);
+    cudaMemcpy(voxel_tsd, additional_voxel_tsd_host, sizeof(float)*n, cudaMemcpyHostToDevice); 
+
+    threads = 128;
+    blocks = (n + threads - 1) / threads;
+    add_keys_and_values<<<blocks, threads>>>(n, voxel_idx, voxel_tsd, map);
+
+    std::cout << "Number of elements after overwriting an existing element with a different value is " << map.size() << " (" << 3 << " expected)" << std::endl;
+
+    cudaFree(voxel_idx);
+    cudaFree(voxel_tsd);
+
+
+    voxel_map::destroyDeviceObject(map);
+}